Four part video series led by luminary CISO Diana Kelley explains how to build security into machine learning and AI lifecycles using MLSecOps framework
Protect AI, the leading artificial intelligence (AI) and machine learning (ML) security company, announced the availability of MLSecOps Foundations, a free four part video training and certification program on how to build security into AI/ML led by its CISO Diana Kelley.
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“MLSecOps Foundations is designed to provide a comprehensive overview of how to build security into AI and Ml using an MLSecOps framework, and explains how and where security can be woven into ML pipelines.”
The MLSecOps Foundations program equips organizations with the essential knowledge and practical strategies needed to seamlessly integrate AI security into their processes, empowering teams to proactively address emerging threats in the AI/ML landscape. This foundational training resource is part of Protect AI’s ongoing commitment to helping companies build robust security measures from the ground up into their AI systems, which includes the MLSecOps community and open source tools.
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Designed for AI users, developers and security teams, MLSecOps Foundations is a four part curriculum that spans 20 bite size modules (average length 3 minutes) which cover AI security issues and prevention strategies as well as how to implement them using the MLSecOps framework. The on-demand MLSecOps Foundations content can be viewed 24X7 on any device.
The training program is led by renowned cyber security expert Diana Kelley, Chief Information Security Officer (CISO) for Protect AI. Previously, Diana was Cybersecurity Field CTO for Microsoft, Global Executive Security Advisor at IBM Security, GM at Symantec, VP at Burton Group (now Gartner), a Manager at KPMG, CTO and co-founder of SecurityCurve, and Chief vCISO at SaltCybersecurity. She was named EWF 2020 Executive of the Year and EWF Conference Chair 2021-Present, an SCMedia Power Player, and a Cybersecurity Ventures 100 Fascinating Females Fighting Cybercrime.
“AI/ML security threats are no longer theoretical. An active attack targeting a vulnerability in Ray, a widely used open-source AI framework, has already affected thousands of companies and servers running AI infrastructure,” said Diana Kelley, CISO for Protect AI. “MLSecOps Foundations is designed to provide a comprehensive overview of how to build security into AI and Ml using an MLSecOps framework, and explains how and where security can be woven into ML pipelines.”
Viewers will learn and, upon completion, earn a certificate on how to:
1. Secure ML models
2. Conduct AI-aware risk assessments
3. Audit and monitor supply chains
4. Implement incident response plans
5. Build an MLSecOps dream team
6. Help their organizations proactively secure their AI and ML systems
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